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Noise resistance of adiabatic quantum computation using random matrix theory

Jérémie Roland and Nicolas J. Cerf
Phys. Rev. A 71, 032330 – Published 21 March 2005

Abstract

Besides the traditional circuit-based model of quantum computation, several quantum algorithms based on a continuous-time Hamiltonian evolution have recently been introduced, including for instance continuous-time quantum walk algorithms as well as adiabatic quantum algorithms. Unfortunately, very little is known today about the behavior of these Hamiltonian algorithms in the presence of noise. Here, we perform a fully analytical study of the resistance to noise of these algorithms using perturbation theory combined with a theoretical noise model based on random matrices drawn from the Gaussian orthogonal ensemble, whose elements vary in time and form a stationary random process.

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  • Received 1 October 2004

DOI:https://doi.org/10.1103/PhysRevA.71.032330

©2005 American Physical Society

Authors & Affiliations

Jérémie Roland and Nicolas J. Cerf

  • Quantum Information and Communication, Ecole Polytechnique, CP 165/59, Université Libre de Bruxelles, 1050 Brussels, Belgium

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Issue

Vol. 71, Iss. 3 — March 2005

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Images

  • Figure 1
    Figure 1
    Spectrum of the unperturbed Hamiltonian H¯=H0+Hf.Reuse & Permissions
  • Figure 2
    Figure 2
    Average error probability perr (to the second order) due to a noise modeled as in Sec. 2 with an autocorrelation function f(x)=sinxx for the analog search among N=100 elements. Note that perr stays very small as long as ω0E¯<1, at which point it shows a sudden increase. For larger values of ω0, it tends progressively back to a low value. The peak at ω0E¯ scales as N.Reuse & Permissions
  • Figure 3
    Figure 3
    Instantaneous eigenvalues of H̃(s) for N=32.Reuse & Permissions
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